2.05 GB | 7min 43s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -What is Machine Learning.mp4 (56.11 MB)
2 -Types of Machine Learning.mp4 (52.79 MB)
3 -Applications of Machine Learning.mp4 (36.49 MB)
4 -The Role of Data in Machine Learning.mp4 (51.02 MB)
1 -Introduction to Python for Data Science.mp4 (46.51 MB)
2 -Working with Pandas for Data Manipulation.mp4 (76.69 MB)
3 -Numpy for Numerical Computing.mp4 (54.83 MB)
4 -Data Visualization with Matplotlib and Seaborn.mp4 (56.64 MB)
1 -Exploratory Data Analysis (EDA).mp4 (43.41 MB)
2 -⁠Handling Missing Values.mp4 (65.45 MB)
3 -Dealing with Outliers.mp4 (50.87 MB)
4 -Feature engineering.mp4 (72.84 MB)
1 -Feature selection.mp4 (41.23 MB)
2 -Encoding Categorical Features.mp4 (53.26 MB)
3 -Dimentionality Reduction.mp4 (47.4 MB)
4 -Handling Imbalanced Datasets.mp4 (50.13 MB)
1 -Introduction to Regression.mp4 (47.83 MB)
2 -Linear Regression.mp4 (58.78 MB)
3 -Ridge and Lasso Regression.mp4 (49.57 MB)
4 -Evaluation Metrics for Regression.mp4 (54.88 MB)
1 -Logistic Regression.mp4 (60.86 MB)
2 -Decision Trees.mp4 (78.14 MB)
3 -Random Forests.mp4 (78.11 MB)
4 -Evaluation Metrics for Classification.mp4 (65.14 MB)
5 -Evaluation Metrics for Classification.mp4 (63.16 MB)
1 -Train-Test Split.mp4 (61.05 MB)
2 -Cross-Validation Techniques.mp4 (65.85 MB)
3 -Hyperparameter Tuning.mp4 (59.67 MB)
4 -Model Evaluation.mp4 (51.62 MB)
1 -Introduction to Clustering.mp4 (64.91 MB)
2 -K-Means Clustering.mp4 (41.17 MB)
3 -Hierarchical Clustering.mp4 (47.89 MB)
4 -Anomaly Detection using Isolation Forests.mp4 (51.43 MB)
1 -Handling Text Data.mp4 (58.56 MB)
2 -Image Classification.mp4 (43.78 MB)
3 -Recommendation Systems.mp4 (61.6 MB)
4 -Ensemble Methods.mp4 (78.69 MB)]
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